Author Bibliographies

Publications by Michael J. Way


Bergvall, N., T. Marquart, M.J. Way, A. Blomqvist, E. Holst, G. Östlin, and E. Zackrisson, 2015: Local starburst galaxies and their descendants. Astron. Astrophys., submitted.


Way, M.J., P.R. Gazis, and J.D. Scargle, 2015: Structure in the 3D galaxy distribution. II. Voids and watersheds of local maxima and minima. Astrophys. J., 799, 95, doi:10.1088/0004-637X/799/1/95.


Way, M., A. Belenkiy, H. Nussbaumer, and J. Peacock, 2014: Historical notes on the expanding universe. Phys. Today, 67, no. 7, 8, doi:10.1063/PT.3.2431.


Way, M.J., 2013: Dismantling Hubble's legacy. In Origins of the Expanding Universe: 1912-1932. M.J. Way, and D. Hunter, Eds., ASP Conference Series, vol. 471. Astronomical Society of the Pacific, 97-134.

Way, M.J., and D. Hunter (Eds.), 2013: Origins of the Expanding Universe: 1912-1932. ASP Conference Series 471. Astronomical Society of the Pacific.


Way, M.J., 2012: Commentary: Learning about the sky through simulations. In Statistical Challenges in Modern Astronomy V. E.D. Feigelsson, and B. Jogesh, Eds., Lecture Notes in Statistics, vol. 209. Springer, 361-366, doi:10.1007/978-1-4614-3520-4_34.

Way, M.J., and C.D. Klose, 2012: Can self-organizing maps accurately predict photometric redshifts? Publ. Astron. Soc. Pacific, 124, 274-279, doi:10.1086/664796.

Way, M.J., J.D. Scargle, K. Ali, and A.N. Srivastava (Eds.), 2012: Advances in Machine Learning and Data Mining for Astronomy. Data Mining and Knowledge Discovery Series. Chapman and Hall/CRC.


Way, M.J., 2011: Galaxy Zoo morphology and photometric redshifts in the Sloan Digital Sky Survey. Astrophys. J. Lett., 734, L9, doi:10.1088/2041-8205/734/1/L9.

Way, M.J., P.R. Gazis, and J.D. Scargle, 2011: Structure in the 3D galaxy distribution: I. Methods and example results. Astrophys. J., 727, 48, doi:10.1088/0004-637X/727/1/48.


Gazis, P.R., C. Levit, and M.J. Way, 2010: Viewpoints: A high-performance high-dimensional exploratory data analysis tool. Publ. Astron. Soc. Pacific, 122, 1518-1525, doi:10.1086/657902.


Foster, L., A. Waagen, N. Aijaz, M. Hurley, A. Luis, J. Rinsky, C. Satyavolu, M.J. Way, P. Gazis, and A. Srivastava, 2009: Stable and efficient Gaussian process calculations. J. Mach. Learn. Res., 10, 857-882.

Quintana, H., D. Proust, G. Hertling, A. Ramirez, I. Toledo, and M.J. Way, 2009: High relative velocity central dumbbells in poor clusters. Astron. Nachr., 330, 924-927, doi:10.1002/asna.200911264.

Way, M.J., L.V. Foster, P.R. Gazis, and A.N. Srivastava, 2009: New approaches to Gaussian process regression in the Sloan Digital Sky Survey. Astrophys. J., 706, 623-636, doi:10.1088/0004-637X/706/1/623.


Way, M.J., and A.N. Srivastava, 2006: Novel methods for predicting photometric redshifts from broadband photometry using virtual sensors. Astrophys. J., 647, 102-115, doi:10.1086/505293.


Way, M.J., H. Quintana, L. Infante, D.G. Lambas, and H. Muriel, 2005: Redshifts in the Southern Abell Redshift Survey Clusters. I. The data. Astron. J., 130, 2012-2018, doi:10.1086/462418.


Doroshkevich, A., D.L. Tucker, S. Allam, and M.J. Way, 2004: Large scale structure in the SDSS galaxy survey. Astron. Astrophys., 418, 7-23, doi:10.1051/0004-6361:20031780.


Chiang, L.-Y., P.D. Naselsky, O.V. Verkhodanov, and M.J. Way, 2003: Non-Gaussianity of the derived maps from the first-year Wilkinson Microwave Anisotropy Probe data. Astrophys. J., 590, L65-L68, doi:10.1086/376822.


Muriel, H., H. Quintana, L. Infante, D.G. Lambas, and M.J. Way, 2002: Velocity dispersions and cluster properties in the Southern Abell Redshift Survey Clusters. II. Astron. J., 124, 1934-1942, doi:10.1086/342854.


Flores, R.A., H. Quintana, and M.J. Way, 2000: Deconstructing Abell 3266: A major merger in a quiet cluster. Astrophys. J., 532, 206-213, doi:10.1086/308539.